AI use case

Improving passenger experience

by
SNCF
Context

SNCF, in collaboration with Alp Valley and partners, integrated Meta's Llama 3.1 to create a multilingual, voice-enabled virtual assistant for Paris' Gare du Nord. Unveiled at Vivatech Paris and the Paris 2024 Summer Olympics, this assistant enhances passenger experience by providing real-time train information and multilingual support, demonstrating advanced module development and efficient workflow validation.

Results
Results not reported in the source
Region
Europe
Published
July 15, 2024
Agent type
Customer Agents
AI provider
Meta
Models/tools
Not disclosed
ICE score
336
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
7
Ease
6

16

AI use cases in

Transportation & Logistics

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Grab

Transportation & Logistics
Data Agents
Quick win
Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

Uber

Transportation & Logistics
Use case
Facilitating EV adoption
Context

Uber is developing an AI assistant using OpenAI's GPT-4o to guide drivers in transitioning to electric vehicles.

Models/tools
...
1

Grab

Transportation & Logistics
Data Agents
Quick win
Use case
Automate mapping data processing
Context

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI's GPT-4o with vision fine-tuning to enhance their mapping data for GrabMaps. By fine-tuning GPT-4o with only 100 examples, they taught it to correctly localize traffic signs and count lane dividers from street-level imagery collected by their drivers.

Explore industries

107

companies using

Customer Agents

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Use case
Accessible study support
Context

StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.

Models/tools
...
2
Use case
Support scaling
Context

Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.

Models/tools
...
2
Use case
Automate customer interactions
Context

Humach, a customer experience solutions provider, uses Claude via Amazon Bedrock to power AI-assisted agents and digital workers that streamline customer interactions across multiple channels. They developed a Custom Language Model framework integrated into their mAI Pilot platform, including digital voice agents, live agent assistance, sentiment analysis, and content classification.

Models/tools
...
2
Explore agents

49

solutions powered by

Meta

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Use case
Automate image segmentation
Context

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Models/tools
...
2
Use case
Protecting customer privacy in personalized recommendations
Context

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

Models/tools
...
1
Use case
Understanding complex codebases
Context

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Models/tools
...
1
Explore AI providers

54

AI use cases in

Europe

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Use case
Managing tourist congestion
Context

The City of Rome is implementing a GPT-4-powered virtual assistant called Julia via Microsoft Azure OpenAI Service. It guides visitors away from crowded tourist hotspots by providing personalized recommendations for lesser-known sites, leveraging a city-curated dataset to offer trustworthy and diverse travel experiences.

Models/tools
...
1
Use case
Improving document accessibility
Context

The European Parliament launched Archibot, an AI-powered tool built with Claude in Amazon Bedrock, to enhance access to their archives. Archibot allows users to search and understand millions of documents, reducing search time by 80% and improving user satisfaction by 58%. The tool processes 10 times more queries monthly, offering multilingual support and retrieval-augmented generation (RAG) to help researchers and policymakers analyze legislative documents and create reports efficiently.

Models/tools
...
2
Use case
Faster feature deployment
Context

Gumroad, an e-commerce platform for digital creators, uses Claude 3.5 Sonnet to enable customer support teams to fix issues with code and contribute to product development. Claude assists them in writing code, locating files, and resolving customer issues.

Models/tools
...
2
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